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Hire Jorge M.

Spain

USD 95 /hr

University Professor | Computer Vision, Machine Learning, and Statistics specialist

Profile Summary

I am a Computer Vision and Machine Learning specialist with over 20 years of experience in both academic and corporate environments. In the private sector, I drove the technological development of a startup that achieved €3 million in revenue. At CaixaBank, I contributed to process improvement through system modernization and data analysis. My research work includes developing solar-prediction models at CIEMAT and creating fraud-detection algorithms based on convolutional and transformer architectures at the UC3M-Santander Big Data Institute. As a university professor, I teach courses on Computer Vision, Machine Learning, and Statistics for undergraduate and master’s level students in Mathematics, Physics, and Computer Vision and Engineering degrees.

Subject Matter Expertise

• ☆ Data Analysis
• ☆ Machine Learning
• ☆ Deep Learning
• ☆ Computer Vision
• ☆ Statistical Theory
• ☆ Applied Statistics
• ☆ Statistical Computing
• ☆ Applied Mathematics
• ☆ Python

Services

• Research
• Consulting
• Data & AI

Research Scientific and Technical Research, Systematic Literature Review

Consulting Digital Strategy Consulting, Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Algorithm Design-Non ML, Algorithm Design-ML, Big Data Analytics, Data Mining

Work Experience

Scientific Researcher

Universidad Carlos III de Madrid

2022 - Present

Professor of Machine Learning

Complutense University of Madrid

2021 - Present

Data Scientist

CaixaBank

2019 - 2022

Head of Technological Innovation and Data

Iguanasell

2007 - 2019

Education

PhD Candidate - Detection of Fraudulent Traffic in Online Advertising Using Convolutional and Transformers Architectures (Telematic Engineering)

Carlos III University of Madrid

January 2021 - Present

Master of Science - Artificial Intelligence (Department of Computer Science)

Universidad Politécnica de Madrid

September 2018 - August 2019

MS - Mathematics and Computer Science (Applied Mathematics)

Rey Juan Carlos University

January 2004 - September 2006

Bachelor of Science - Physics (Physics)

RWTH Aachen University

September 2001 - June 2002

Bachelor of Science - Physics (Physics)

Universidad Autónoma de Madrid

1996 - 2002

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

Marco-Blanco Jorge, Cuevas Rubén (2024). Time series clustering with random convolutional kernels . Data Mining and Knowledge Discovery.

Marco-Blanco, J, Romance, M, Hernandez-Bermejo, Benito(2009). Analytical estimates and proof of the scale-free character of efficiency and improvement in Barabási--Albert trees. Physics Letters A. 373. (8-9). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 838--843. Elsevier

Jorge Marco Blanco, Romance, Miguel, Hernandez-Bermejo, Benito(2008). Probabilistic analysis of efficiency and vulnerability in the Erdös--Rénji model. International Journal of Computer Mathematics. 85. (3-4). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 411--419. Taylor \& Francis

Criado, R, Marco-Blanco, J, Romance, M, Hernandez-Bermejo, Benito(2007). Asymptotic estimates for efficiency, vulnerability and cost for random networks. Journal of computational and applied mathematics. 204. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 166--171. Elsevier

Marco-Blanco, J, Romance, M, Hernandez-Bermejo, BenitoThird Order Analysis of Efficiency and Improvement for Barabási-Albert Networks. Computational and Mathematical Methods in Science and Engineering. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 190. Citeseer

DISSERTATION THESIS

Marco-Blanco, Jorge(2019). Detection of Misclassified and Adversarial examples in Deep Learning.